Benchmarking (model scoring) and cross-validation support add-on module for Woken.
This software requires Woken to work, as it establishes an Akka cluster with Woken as the master.
It embeds Apache Spark which provides the numerical methods for benchmarking and model scoring.
docker run --rm --env [list of environment variables] --link woken hbpmip/woken-validation:2.8.0
where the environment variables are:
- CLUSTER_IP: Name of this server advertised in the Akka cluster
- CLUSTER_PORT: Port of this server advertised in the Akka cluster
- CLUSTER_NAME: Name of Woken cluster, default to 'woken'
- WOKEN_PORT_8088_TCP_ADDR: Address of Woken master server
- WOKEN_PORT_8088_TCP_PORT: Port of Woken master server, default to 8088
- LOG_LEVEL: Level for logs on standard output, default to WARNING
- UDP_ARTERY: if set to true, enables UDP and Akka Artery for communication (experimental, not working yet)
- RELEASE_STAGE: Release stage used when reporting errors to Bugsnag. Values are dev, staging, production
- DATA_CENTER_LOCATION: Location of the datacenter, used when reporting errors to Bugsnag
- CONTAINER_ORCHESTRATION: Container orchestration system used to execute the Docker containers. Values are mesos, docker-compose, kubernetes
You need the following software installed:
- Docker 18.09 or better with docker-compose
- Run the build script
./build.shIt will build the scala project into a Docker container.
You need the following software installed:
Execute the following commands to distribute Woken as a Docker container:
./publish.shThis work has been funded by the European Union Seventh Framework Program (FP7/20072013) under grant agreement no. 604102 (HBP)
This work is part of SP8 of the Human Brain Project (SGA1).
Thanks for the generous support of 
who offered us a Standard plan allowing us to inspect and report efficiently errors in our software.
We use the following tools for development:
- IntelliJ IDEA
- to report errors in real time to our development team
- CircleCI for continuous integration